TY  - JOUR
TI  - Automated Timetable Generation
AU  - Prajakta Tanksali
AU  -  Ila Dhond
AU  -  Shivani Pednekar
AU  -  Varshanda Singbal
AU  -  Shruti Sivaraman
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2020/04/30
PY  - 2020
DO  - https://doi.org/10.32628/CSEIT206229
UR  - https://ijsrcseit.com/CSEIT206229
VL  - 6
IS  - 2
SP  - 96	
EP  - 99
AB  - Timetable generation is a complex job for instructors in terms of time and man power. Proposed system will help to generate it automatically along with saving time. It prevents the complexity of setting and managing Timetable manually. Different algorithms like genetic, heuristic, resource scheduling are used to minimise difficulties faced during generation of timetable. These algorithms consist of a numeral of strategy, aimed to improve the cooperativeness of the search operation. The system will take various inputs like number of subjects, professors, workload of a teacher, semester, priority of subjects. Depending on these inputs, it will generate possible timetables for working days of the week for teaching staff. This will integrate by making optimal use of all the resources in a way that will best suit the constraints.